Wind Rose
Chart overview
A wind rose is a circular histogram that simultaneously encodes wind direction frequency, wind speed class, and occurrence percentage for a given location and time period.
Key points
- Meteorologists, air quality scientists, and wind energy engineers rely on wind roses to characterize site climate, assess pollutant transport pathways, and evaluate turbine siting.
- They are a standard figure in environmental impact assessments and micrometeorological papers.
Example Visualization
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Generate publication-ready wind roses with AI in seconds. No coding required – just describe your data and let AI do the work.
View example prompt
"Create a wind rose from my wind direction and speed data. Divide directions into 16 compass sectors, stack speed classes with distinct colors from a sequential colormap, label cardinal directions, show frequency percentage on the radial axis, and add a speed-class legend."
How to create this chart in 30 seconds
Upload Data
Drag & drop your Excel or CSV file. Plotivy securely processes it in your browser.
AI Generation
Our AI analyzes your data and generates the Wind Rose code automatically.
Customize & Export
Tweak the design with natural language, then export as high-res PNG, SVG or PDF.
Python Code Example
Console Output
Figure saved: plotivy-wind-rose.png
Common Use Cases
- 1Characterizing prevailing wind patterns at a proposed wind farm site
- 2Assessing dominant dispersion directions for industrial emission modeling
- 3Comparing seasonal wind climatology at an airport meteorological station
- 4Evaluating urban heat island ventilation corridors for city planning
Pro Tips
Use 16 sectors (22.5 degrees each) for detailed directional resolution rather than the default 8
Normalize bar heights to percentage of total observations so sites with different record lengths are comparable
Choose a sequential colormap with enough distinct steps to separate at least 5 speed classes
Set the radial axis label at 45 degrees to avoid overlap with the directional bars
Scientific Chart Selection Cheat Sheet
Not sure whether to use a Violin Plot, Box Plot, or Ridge Plot? Download our single-page reference mapping the most-used scientific chart types, exactly when to use them, and the core Matplotlib/Seaborn functions.